Most Helpful Review
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Teradata and other solutions. Updated: January 2019.
316,375 professionals have used our research since 2012.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
It handles high volumes of data very well.
It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time.
It handles large amounts of information with a linear performance increase, in relation to a HW investment.
It has a solid set of tools and consulting services.
It has massive parallel processing ability to do large amounts of concurrent querying.
It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.
Cuts time to process huge amounts of data with efficient analytical queries.
A conventional and easily defined way to build a data warehouse or a layer of data marts.
Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools
Auto-partitioning and indexing, and resource allocation on the fly are key features.
It needs more compatibility with common BI tools.
Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution.
It needs a teaching web site with more training on third-party tools used for BI.
We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.
There is a need to improve performance in high transaction processes, as well as the reporting system.
Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).
Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.
Needs compatibility with more Big Data platforms.
It would help to make scaling easier with a reduced cost.
I think the UI is not there yet. It could be improved by being more user-friendly.
Pricing and Cost Advice
Information Not Available
We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.
Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.
Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.
It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.
Teradata is currently making improvements in this area.
The initial cost may seem high, but the TCO is low.
In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does.
Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms.
out of 29 in Data Warehouse
out of 29 in Data Warehouse
Compared 26% of the time.
Compared 15% of the time.
Compared 14% of the time.
Compared 24% of the time.
Compared 20% of the time.
Compared 7% of the time.
Also Known As
|Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse|
The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.
Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.
Learn more about Microsoft Parallel Data Warehouse
Learn more about Teradata
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Financial Services Firm30%
Comms Service Provider22%
Software R&D Company13%